A beautiful report

With a plotly bug

import matplotlib.pyplot as plt 
import plotly.graph_objects as go 
import pandas as pd 
import seaborn as sns

import plotly as pl
print(pl.__version__)

5.11.0

# without including this, the plotly charts will not render correctly! 
# cf. https://quarto.org/docs/interactive/widgets/jupyter.html 
# and https://plotly.com/python/renderers/#setting-the-default-renderer 
import plotly.io as pio

pio.renderers.default = "notebook"

# NOTE: as of April 2023, Quarto+Jupyter only works correctly ipynb notebooks created using an environment with plotly<=5.11
# if you use plotly>=5.12 in your venv, Plotly charts will not render in quarto documents, 
# producing error "plotly.js not found" and the output may be cropped 
# tbd: submit an issue to Quarto 

Load data:

data = sns.load_dataset('penguins')

data_agg = data.groupby(['species','island','sex'])['body_mass_g'].count().rename('count').reset_index()
data_agg2 = data_agg.groupby('species')['count'].sum().reset_index()

Plotly

Let’s make a plotly chart. This will be Figure 1.

datatrace = {
    'type': 'bar', 
    'x': data_agg2['species'], 
    'y': data_agg2['count']
}

layout = {
    'title': {'text': 'Penguin counts', 'x': 0.5}, 
    'margin': {'t': 80, 'b': 20, 'r': 20, 'l': 20}, 
    'height': 250, 
    'width': 300,
    'modebar': {        'orientation': 'h',}
}

figdict = {'data': datatrace, 
          'layout': layout}
fp = go.Figure(**figdict)

fp.show()

Figure 1: The figure illustrates how many penguins in each species were measured.

Matplotlib

f, ax = plt.subplots(figsize=(4,4))
for sp in data['species'].unique():
    tmp_data = data.query('species == @sp')
    ax.scatter(x=tmp_data['flipper_length_mm'], y=tmp_data['body_mass_g'], label=sp)
    
ax.set_title('Penguin measurements');
ax.set_ylabel('Body Mass [g]');
ax.set_xlabel('Flipper Length [mm]');
l = ax.legend(bbox_to_anchor=(0.0, 1.0), loc='upper left');
l.set_frame_on(False)

Figure 2: Penguin sizes per species.